Penetration Testing Projects

B2B Telesales Representative for Construction SaaS

We are an established SaaS platform with active customers in the construction and home-improvement industry. We are now looking to test outbound telesales as a channel for further growth. I am looking for an experienced B2B telesales representative who is confident making cold calls to construction and trade businesses. Your role will be to: * Call prospects from an existing lead list * Reach the business owner or relevant decision-maker * Hold a natural and credible initial conversation * Briefly explain the value of the platform * Qualify whether the business is a suitable prospect * Book qualified product demonstrations directly into my calendar * Record call outcomes, notes and follow-up actions in our CRM The objective is not simply to generate as many appointments as possible. I am looking for relevant, qualified businesses that have a genuine interest in improving how they manage their installation projects. You will receive a £10 bonus for each qualified demonstration that is attended by the prospect. The initial engagement will be a 15-hour pilot: * 3 hours per day * 5 working days * £23 per hour * Working hours are flexible, but calls should take place between 7:00am and 5:00pm UK time If the pilot produces promising results, there is potential for regular ongoing work. We use Close CRM and already have a lead list containing company details, telephone numbers and email addresses. I will provide: * Product training * Target customer information * Key talking points * Access to the CRM * Guidance on qualification and common objections * My calendar for booking demonstrations You should be able to turn this information into a conversational call structure that feels natural to your own speaking style. I do not want a rigid or overly scripted sales approach. You should have: * Previous B2B cold-calling or appointment-setting experience * Excellent spoken and written English * A confident, personable telephone manner * Strong organisation and CRM discipline * The ability to speak credibly with owners of construction or trade businesses * A reliable telephone and working environment * The ability to provide clear feedback on objections and prospect responses Experience selling SaaS, construction software or services to owner-managed businesses would be particularly valuable. Before beginning the engagement, I would like to arrange a brief 10-minute video call to discuss your experience, communication style and approach to the project.

Automated ai lead generation

Request for Quotation (RFQ) ​Project Title: Automated AI Lead Generation & Qualification Engine (Pre-Owned Vehicles) Target Throughput: System built to handle high-volume acquisition supporting 30+ completed vehicle sales per month Core Tech Stack: Make.com, AI Processing (Gemini / OpenAI), Web Scraping / Lead Capture, CRM & Outreach Engine (Instantly / WhatsApp / CRM) ​1. Project Overview & Objective ​We are launching an automated lead acquisition and qualification engine for a pre-owned vehicle operation in South Africa. Our goal is to achieve 30 completed vehicle sales per month. ​To support this volume, we need an end-to-end automated workflow that captures inbound vehicle inquiries (buyers and sellers), enriches and validates lead data, scores intent using AI, and routes qualified leads into an automated outreach and CRM pipeline. ​We are seeking an experienced Make.com & AI Automation Specialist to architect, build, test, and deploy this complete system. ​2. Scope of Work ​Phase 1: Lead Capture & Web Scraping ​Set up automated web and social scraping workflows (using tools like Browse AI, Apify, or Meta Lead Ads API) to extract incoming vehicle buyer and seller leads. ​Capture inbound submissions from web forms, landing pages, and external vehicle listing platforms. ​Phase 2: AI Lead Enrichment & Filtering (Make.com + AI) ​Build Make.com scenarios integrated with Gemini/OpenAI API to: ​Parse, clean, and format raw contact details (normalizing South African phone numbers, names, locations). ​Filter and score incoming leads based on buying/selling intent (vehicle preference, budget, urgency, financing readiness). ​Auto-filter junk or incomplete leads to keep the pipeline focused on high-converting prospects. ​Phase 3: Automated Personalization & Outreach ​Set up instant multi-channel response triggers (Email / WhatsApp API / SMS) ensuring speed-to-lead response times under 2 minutes. ​Generate contextual AI-personalized messaging based on specific vehicle models, buyer requests, or seller submissions. ​Connect scored leads to email/outreach platforms (e.g., Instantly.ai or automated messaging sequences). ​Phase 4: CRM Pipeline Integration ​Sync all processed leads automatically into a central CRM (HubSpot, GoHighLevel, or Airtable). ​Set up pipeline stage tracking from New Inbound → AI Qualified → In Progress → Closed / Completed. ​3. Key Deliverables ​Fully Automated Make.com Scenarios: Modular scenarios connecting lead capture, AI enrichment, and CRM destination. ​AI Lead Scoring System: Prompt architecture for automated lead classification and filtering. ​Outreach & CRM Sync: Seamless routing into cold email outreach / CRM pipelines. ​Handoff Documentation: Brief video walkthrough and technical documentation for scenario management. ​4. Required Freelancer Skills ​Advanced proficiency with Make.com or n8n multi-step scenarios. ​Hands-on experience integrating OpenAI / Gemini APIs via HTTP/REST nodes. ​Familiarity with lead scraping tools (Browse AI, Apify) and CRM APIs. ​Strong understanding of email deliverability, WhatsApp API tools, and pipeline management. ​5. Submission Requirements ​Please reply with your quotation including: ​Technical Architecture: Proposed tools and high-level Make.com scenario structure. ​Pricing Structure: Fixed setup/implementation fee (plus optional monthly maintenance retainer). ​Estimated Timeline: Total days required for development, testing, and deployment. ​Portfolio: 1–2 examples of previous lead generation or Make.com automation workflows built.

Assessment Scientist to Upgrade AI Hiring Prompts (Fast Start)

We are Pynea, a London-based hiring intelligence platform. We replace CV-led screening with observable evidence of how candidates think, decide and adapt. Our system runs three assessment signals and produces a Living Profile of each candidate. We need someone to take our existing library of assessment prompts and rubrics and make them world class: sharper at eliciting real signal, tighter at scoring it, and defensible under UK and EU employment law. We move at pace. This has a fixed deadline. We need someone who can start within days and work in tight iterative loops with our team, not someone who disappears for a fortnight and returns with a document. This is not a prompt engineering job. Prompt craft is the surface. The actual work is assessment design: construct clarity, elicitation quality, rubric reliability, and adverse impact risk. If your background is LLM optimisation without assessment or selection experience, this will not be a fit. What you will do - Audit our current prompts and scoring rubrics against assessment design principles - Rewrite them for construct validity, consistency and reduced proxy signal for protected characteristics - Strengthen rubrics so two independent raters would reach the same score - Make every output explainable in plain language to the candidate it describes - Document your reasoning so our permanent team can maintain and extend the work What we need you to bring - Real experience designing or validating selection assessments, structured interviews or work samples - Working knowledge of Equality Act 2010 indirect discrimination risk, and ideally EU AI Act Annex III obligations for hiring systems - Practical fluency with LLM behaviour: you can write, test and iterate prompts yourself - Judgement about what makes a question reveal character rather than rehearsal Nice to have - BPS Chartered Occupational Psychologist, SIOP membership, or equivalent - Experience at an assessment vendor such as SHL, Arctic Shores, Applied, Sova, Talogy or HireVue - Published work on validity, fairness or adverse impact in AI assisted hiring How this runs - Full context and materials provided under NDA. Shortlisted candidates complete a short paid work sample before we award the main contract. Strong likelihood of ongoing work beyond the initial scope. To apply Skip the generic cover letter. Answer the screening questions below. We read those first and nothing else. Tell us your earliest start date in your first line. SCREENING QUESTIONS 1. Describe one selection assessment you designed or validated. What construct was it measuring, and how did you know it worked? 2. A hiring prompt asks candidates to describe a time they overcame adversity. Name two ways that question could produce indirect discrimination risk, and how you would fix it. 3. We measure a construct that appears in no published competency framework. How would you validate it? 4. What is the most common mistake you see in LLM based candidate scoring?

LinkedIn Ghostwriter & Personal Brand Content Strategist Data/AI

About the role I’m looking for a LinkedIn Ghostwriter and Personal Brand Content Strategist to help build my presence on LinkedIn as the founder of a UK-based data and AI consultancy. The goal is not simply to produce generic social media posts. I’m looking for someone who can understand my experience, opinions and day-to-day work, then turn those ideas into credible, engaging LinkedIn content written in my voice. My audience includes: CTOs CFOs Heads of Data / Reporting / Finance MSP owners and directors Technology and consulting leaders The topics will mainly cover: Data strategy Data engineering AI and analytics Microsoft Azure Databricks Power BI / BI strategy Working with MSPs Building data platforms Lessons from consulting and client delivery Founder / consultancy experiences Practical observations about technology projects You do not need to be a data engineer, but you should be comfortable interviewing technical people and turning technical ideas into content that business leaders can understand. What I need Initially, I would like someone to: Have a 30–45 minute content call with me every 2 weeks. Extract ideas, stories and opinions from those conversations. Create a structured LinkedIn content plan. Write approximately 2 high-quality LinkedIn posts per week. Develop a consistent writing style and tone that sounds like me. Suggest strong hooks and angles for posts. Balance educational content, opinions, founder experiences and commercial insight. Identify opportunities to turn conversations, client situations and industry developments into content. Review post performance and gradually improve the content strategy. There may also be opportunities later to help with: LinkedIn carousels Simple post graphics Case-study content Newsletter/article content Profile optimisation Content scheduling Comment / engagement strategy Writing style I am not looking for overly polished corporate marketing copy. The content should feel: Human Experienced Credible Conversational Practical Commercially aware Occasionally opinionated Easy to understand I want the content to demonstrate expertise without constantly selling. Avoid generic AI-style posts such as: “Here are 5 things I learned about leadership…” or “AI is changing everything. Here are 7 trends you need to know.” The best content will come from real experiences, real projects, observations and strong points of view. Ideal freelancer You will ideally have experience working with: B2B founders Consultants Technology executives SaaS companies Data / AI companies Professional services firms MSPs or IT services companies Previous experience ghostwriting for founders or executives on LinkedIn is highly desirable. When applying Please send: 3–5 examples of LinkedIn posts you have written, ideally for founders, consultants or technology leaders. A short explanation of how you capture someone's voice rather than making every client sound the same. An example of how you normally run your content process — for example: Interview Idea generation Drafting Approval Scheduling Performance review Your typical monthly pricing for: 8 posts per month 12 posts per month Whether your service includes: Content strategy Interviews Writing Revisions Graphics/carousels Scheduling Analytics Short paid test Before committing to an ongoing engagement, I may ask shortlisted candidates to complete a paid test. I will provide a short voice note, call transcript or explanation of a topic. I would then like you to turn that into 2 different LinkedIn posts with different angles. The objective of the test is not just to assess writing quality. I want to see whether you can identify the interesting idea behind what I am saying and turn it into content that sounds natural and credible. Ongoing engagement If we work well together, I am looking for an ongoing relationship rather than a one-off project. The objective is to build a strong founder-led LinkedIn presence over the long term, with consistent content that generates conversations, relationships and ultimately opportunities for the business.

opportunity

We are looking for senior AI Backend Engineer to join our team.

# Senior AI Backend Engineer – LLM Applications **Company:** Asahan Tech Partners **Location:** Latin America **Work Arrangement:** Fully Remote **Compensation:** USD $2,000–$4,000 per month ## About the Role Asahan Tech Partners is looking for a **Senior AI Backend Engineer** based in Latin America to design and build scalable backend systems for LLM-powered applications. You will work on production AI systems involving large language models, backend APIs, data processing, AI workflows, and cloud infrastructure. This role is ideal for an experienced backend engineer who understands how to integrate LLMs into reliable, secure, and maintainable applications. ## Responsibilities * Design, build, and maintain backend services for LLM-powered applications. * Develop scalable APIs and microservices for AI features. * Integrate LLM providers and AI services into production systems. * Build and improve retrieval-augmented generation pipelines. * Implement document ingestion, text processing, embedding, and vector-search workflows. * Design prompt-management and AI workflow systems. * Improve the accuracy, reliability, latency, and cost efficiency of LLM applications. * Build monitoring, logging, error-handling, and evaluation systems for AI outputs. * Design secure data flows and protect sensitive application data. * Work with relational databases, vector databases, caching systems, and message queues. * Deploy and maintain backend services using cloud platforms and container technologies. * Review code and contribute to technical architecture decisions. * Collaborate remotely with developers, product stakeholders, and other team members. * Troubleshoot production issues and improve overall system performance. ## Requirements * At least 5 years of professional backend development experience. * Strong experience with Python and modern backend frameworks such as FastAPI, Django, or Flask. * Practical experience building or integrating LLM-powered applications. * Experience working with LLM APIs such as OpenAI, Anthropic, Google Gemini, or similar platforms. * Understanding of retrieval-augmented generation, embeddings, vector search, and prompt engineering. * Experience designing REST APIs, microservices, and distributed backend systems. * Strong knowledge of SQL databases such as PostgreSQL or MySQL. * Experience with vector databases or search technologies such as Pinecone, Weaviate, Qdrant, Milvus, Elasticsearch, or pgvector. * Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure. * Experience with Docker, Git, automated testing, and CI/CD workflows. * Understanding of authentication, authorisation, API security, and data protection. * Ability to write clean, maintainable, and well-tested code. * Strong problem-solving and system-design skills. * English fluency for technical discussions and remote collaboration. * Ability to work independently in a fully remote environment. * Must be based in Latin America. ## Preferred Qualifications * Experience building production RAG systems. * Experience with LLM evaluation, observability, guardrails, or hallucination reduction. * Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. * Familiarity with agentic workflows and tool-calling systems. * Experience with asynchronous processing and message brokers such as RabbitMQ, Kafka, or AWS SQS. * Experience optimising LLM token usage, response time, and infrastructure costs. * Previous experience working with international or distributed teams. ## What We Offer * Fully remote work from anywhere in Latin America. * Monthly compensation of USD $2,000–$4,000, depending on experience and technical ability. * Opportunity to work on practical, production-focused LLM applications. * Direct involvement in backend architecture and technical decisions. * Collaboration with an international remote team. * Long-term opportunities based on performance and project needs. ## How to Apply Please submit your resume or professional profile along with a brief description of your experience building backend systems or LLM-powered applications.

Website Build for a Regional US Drive-Thru Coffee Chain

A US-based drive-thru coffee chain with multiple locations is looking for a web developer to design and build a new marketing website. This is a one-time, fixed-scope project, with the possibility of ongoing maintenance afterward. Our current site is dated and hard to maintain, and it does not reflect the energy of the brand or serve our customers well on mobile, which is where almost all of our traffic comes from. We want a fast, modern, mobile-first website that makes it easy to find a location, browse the menu, and connect with the brand. Scope of work: A marketing website of around 8 to 10 pages: home, menu, our story, locations, careers, franchising enquiry, contact, plus standard legal pages A store locator where customers enter a city or ZIP code and see nearby locations with address, hours, and directions; we will provide the location data in a structured file A menu section organized by category, easy for our team to update as items change, with support for seasonal and limited-time items Clear links out to our existing mobile ordering and rewards app on iOS and Android; the app itself is not part of this project A careers page with current openings and an enquiry form, and a separate franchising enquiry form, both routing submissions to the right inbox Built so our marketing team can update content, menu items, and locations themselves without touching code Technical requirements: Mobile-first and fully responsive, fast on phones on mobile data Built on a maintainable, well-established platform; tell us your recommendation and why Strong on-page SEO and local SEO, since customers search by location, with correct structured data for a business with many outlets Accessible to WCAG AA standards Correct link previews when pages are shared on social media What we will provide: Brand guidelines, logo, fonts, colors, and photography Final copy for all pages Location and menu data in a structured file A named contact to answer questions and approve work Deliverables are the completed responsive website, tested across major browsers and devices, with an editable content system, basic analytics in place, and a short written guide plus one walkthrough for our team. To be considered, please share two or three live websites you have built, ideally multi-location or hospitality businesses, with links rather than screenshots. Tell us which platform you would recommend and how you would approach the store locator, and confirm your timeline and availability. Applications without live examples will not be shortlisted.

opportunity

Tier 1 Media Placements Partner

We are building a vetted supplier roster for legitimate feature articles, contributed articles, interviews and brand profiles on established Tier-1 business, finance, technology and news publications. Priority publications include: • Forbes • Fast Company • Inc. • TechCrunch • WIRED • Entrepreneur US • VentureBeat • BBC • The New York Times • Financial Times • The Wall Street Journal We are also interested in comparable national and global Tier-1 publications in these sectors. We are not looking for generic press-release syndication, unnamed "DA 50+" sites, private blog networks, link insertions or publication claims without evidence. If your route is paid, sponsored, contributed, partner content, regional, syndicated or earned-media outreach, state that clearly. Do not describe paid placement as earned editorial coverage. For outlets such as BBC, The New York Times, Financial Times and The Wall Street Journal, clearly distinguish genuine editorial outreach from any paid, partner or syndicated route; guaranteed editorial coverage claims will require exceptional proof. For EACH website you can genuinely offer, include: 1. Exact domain, country edition, vertical/section and publication type. 2. Your all-in price and currency for one article. 3. Three recent live sample URLs delivered through the same author, contributor or publishing route, preferably from the last 90 days. 4. Exact link treatment: dofollow, nofollow, sponsored, UGC, redirect or no link. State any disclosure label. 5. Whether we/client supply the article, you write it for approval, or both options are possible. Include word count and revision limits. 6. Realistic time from approved brief/content and payment to live publication, including editorial review. 7. What happens if the article is rejected, delayed, edited materially, removed or the link changes. Include refund/replacement terms and minimum live period. 8. The named author profile or contributor route used, plus any restricted industries or topics. 9. Your PeoplePerHour track record for comparable placements. We will independently verify every sample, author route, disclosure and link attribute before selection. We expect to begin with test placements and build an ongoing relationship with suppliers who provide accurate information and consistent quality. Please quote each publication separately. A generic proposal without exact domains and live samples will not be shortlisted.

Botanical Wall Art Needed

I run an Etsy shop (Ochre & Line) selling digital-download botanical wall art print sets. I need an illustrator to produce 50 coordinated sets of 3 prints each (150 individual designs total), all in one consistent house style, built to exact print-production specs. HOUSE STYLE (must match exactly — reference images attached) Hand-painted botanical illustration in a vintage/editorial style. Every leaf, stem, and petal has a fine, confident dark ink outline, filled with watercolour/gouache-style colour with visible brush texture. Subtle paper grain across the background. Full-bleed composition filling the entire canvas edge to edge — no border, no frame, no die-cut or silhouette shapes. No text, lettering, or signature marks anywhere on any print. Portrait orientation. PALETTE (strict across all 50 sets — do not deviate) Terracotta #C1653C · Rust red #A8461C · Dusty rose #D9A6A0 · Olive green #6B7048 · Sage green #9CA77D · Warm cream background #F4EEE3. No blues, no purples, no bright saturated colours outside this list. SCOPE 50 sets, each containing 3 coordinated prints on a distinct subject/theme so the shop's catalogue doesn't repeat itself. I already have themes planned for the first 10 sets (e.g. fresh wildflowers, dried grasses and seed heads, leafy foliage, bold native blooms, garden roses and herbs, citrus branch, autumn berries, minimalist single-stem, potted succulents, pressed botanical/herbarium) — happy to share this list, and I'd want your input proposing themes 11-50 following the same logic: each set visually distinct from the others, still on-brand and on-palette. TECHNICAL SPECS (per print, all 150 files) Minimum native resolution 1122x1402px, high enough to hold up when scaled to true 300 DPI at these sizes: A5, A4, A3, 5x7", 8x10", 11x14", 16x20". Reference pixel dimensions at 300 DPI: A5 1748x2481 · 5x7 1500x2100 · 8x10 2400x3000 · A4 2481x3508 · 11x14 3300x4200 · A3 3508x4961 · 16x20 4800x6000 MOCKUPS For each set: 5 additional listing photos showing all 3 prints together, framed, in photorealistic room settings (2 different rooms + 1 clean product/flat-lay shot). No text on any mockup. DELIVERY FORMAT (per set) One ZIP per set, structured as: Set_XX/01_Print_Files/ (3 master PNGs, each its own file — not crops from a combined sheet) and Set_XX/02_Etsy_Mockups/ (3 mockup PNGs). WHAT TO AVOID - Delivering prints as crops from a combined/composite image — each must be its own independently created master file - Any colour outside the specified palette - Any text, watermark, or signature on prints or mockups - Flat vector/clipart style — this must read as genuine hand-painted illustration, not a simple graphic TO APPLY Please share a portfolio sample in this exact style if you have one, or a quick test piece. Given the scope (50 sets), I'd like to start with a small paid trial of 2-3 sets before committing to the full run, so we can confirm style fit and workflow before scaling up.

Senior Prompt Engineer - Evaluation, Scoring and Reliability

We need an experienced prompt engineer to design reliable LLM-based evaluation and scoring workflows. You must understand semantic alignment, rubric decomposition, structured outputs, calibration, prompt sensitivity, model bias, context handling, and failure analysis - not simply write persuasive instructions. The work requires improving scoring consistency across paired inputs, distinguishing genuine meaning from superficial language overlap, and testing performance against paraphrases, contradictions, omissions, formatting changes, and adversarial cases. To apply, describe your evaluation methodology, experience building LLM judges, approach to measuring reliability, and one difficult consistency problem you solved. Include anonymised examples and tools used. Responses to this advert generated by LLMs will be auto-rejected To eliminate AI responses to the questions below, there is very special question below! 90% of AIs answer it incorrectly (its an unstable question) Advanced prequalification questions 1. You are designing an LLM judge to determine whether a supplier’s reply meaningfully addresses a buyer’s request. Replies using identical wording receive higher scores than accurate paraphrases. What is the best first intervention? * A. Increase temperature to expose the judge to more interpretations * B. Instruct the judge to assess semantic coverage, explicitly distinguish lexical overlap from meaning, and provide contrasting scored examples * C. Remove the buyer’s original request from the prompt * D. Reward replies containing the buyer’s most frequent terms 2. A reply correctly addresses four requirements but confidently contradicts a fifth, critical requirement. Your judge often gives it a high overall score. Which rubric design is strongest? * A. Ask for a holistic score based on overall helpfulness * B. Score each requirement separately, identify contradictions, apply a critical-failure rule, and then calculate the overall result * C. Tell the judge to penalise inaccurate responses * D. Increase the maximum score so errors have less influence 3. Two semantically equivalent replies receive materially different scores when their order, formatting, or writing style changes. Which evaluation approach best isolates the problem? * A. Run each version repeatedly, randomise irrelevant presentation features, and measure score variance by transformation type * B. Reduce both replies to the same word count * C. Set temperature to 1.0 and compare one result from each * D. Ask a larger model which reply is better 4. An LLM judge must assess whether a response covers every material element of a complex request. Which prompt architecture is most robust? * A. Ask for one immediate score to minimise token usage * B. First extract atomic requirements, then map response evidence to each requirement, classify coverage, and derive a schema-constrained score * C. Ask the model to explain its reasoning before reading the response * D. Provide a long definition of quality and request a percentage 5. Your judge achieves 92% agreement with human labels, but performance falls sharply on short, indirect, or poorly written inputs. What should happen next? * A. Deploy because overall agreement exceeds 90% * B. Add more examples of well-written inputs * C. Segment results by input characteristics, build targeted adversarial cases, revise the rubric, and recalibrate against disputed human-labelled examples * D. Increase the system prompt’s authority and repeat the same test 6. A candidate claims that requiring detailed chain-of-thought will make scoring more accurate and auditable. Which response shows the strongest understanding? * A. Correct; longer reasoning always improves accuracy * B. Correct, provided temperature is zero * C. Not necessarily; use explicit intermediate classifications and evidence fields, validate outputs, and evaluate accuracy empirically without depending on unrestricted hidden reasoning * D. Incorrect; LLM judges should return only a number Please answer each question with A,B,C orD. For each, add your percentage certainty of your answer and your reasoning.

opportunity

Proven Creator Affiliate Growth Manager

We are looking for an experienced Affiliate Growth Manager to launch a measurable creator-affiliate programme for Givrr, a live direct fan-messaging app for 18+ adult-friendly creators. This is NOT a basic lead-generation, social-media-management or mass-messaging role. We need someone who has previously recruited and activated affiliates, creators or performance-based partners and can show measurable results. GOAL Build a repeatable programme that generates: * Active affiliates * Qualified creator referrals * Attributed registrations * Paying subscriptions * Renewals and measurable revenue Givrr is already live. We are now completing unique referral links/codes, install-to-registration attribution, subscription/renewal/refund reporting, affiliate reports and creator research. No outreach may begin until Givrr approves the tracking, offer, target list and messages. RESPONSIBILITIES * Create an affiliate recruitment and activation strategy * Identify qualified affiliate partners * Recommend channels and priority markets * Prepare personalised outreach and follow-ups * Design affiliate onboarding and activation * Track results from contact to revenue * Report objections and programme improvements Suitable partners may include creator educators, legitimate managers/agencies, webcam-industry professionals, community operators, adult-industry marketers, relevant micro-influencers and proven affiliate marketers. Priority markets include Latin America, Spain, Portugal, Romania, Eastern Europe, UK and USA. You do not need to cover every market. FIRST PAID TEST Quote a fixed price for: * Short affiliate launch strategy * 25 manually researched affiliate prospects * Public evidence and contact route * Market, language and partner category * Individual fit reasoning and risk notes * Priority score * One first-contact message and two follow-ups * Affiliate onboarding/activation flow * Measurable 14-day pilot plan * Funnel-tracking spreadsheet structure This milestone is research and preparation only. Do not contact anyone without written approval. EVIDENCE REQUIRED Provide anonymised but verifiable evidence from at least one programme: * Programme type/industry * Your exact role * Partners recruited and activated * Registrations and paying users/sales generated * Revenue where available * Time period * Supporting screenshots, reports or dashboard extracts Confidential names may be removed, but the results must remain understandable. Applications without specific evidence will not be shortlisted. RULES * Only clearly verified 18+ creators * No minors or questionable accounts * No spam or automated mass outreach * No fake identities, testimonials, reviews or engagement * No purchased lists or private data * No pretending to be an independent user * No unauthorised community posting * No outreach before written approval * Respect all platform/community rules * Use public, lawful business information only * Track every approved action All research, messages, tracking sheets and programme assets created for the project will belong to Givrr. WHEN APPLYING, ANSWER: 1. Which affiliate/creator programme have you helped grow? 2. What was your exact role? 3. How many partners did you recruit and activate? 4. How many registrations, paying users or sales resulted? 5. What evidence can you provide? 6. Which markets and languages do you know? 7. How would you find and activate Givrr affiliates? 8. Which KPIs would you use in the first 14 days? 9. Do you accept that outreach requires written approval? 10. What is your fixed test price and delivery time? Start your proposal with “EVIDENCE INCLUDED” and state your strongest measurable result in the first three lines. Generic proposals will be rejected.